Extracción de datos Jobs

I need every publicly listed profile on a specified website captured in a clean, structured dataset. For each provider record, collect the following fields: Picture, Full Name, Titles, Clinic Announcement, Specialty, Experience, Experience, Book on, summary, badges and designations, (Clinic schedule, Fee, Clinic Name, Clinic Location,) of all clinics they have. Education, Med School, Residency, Fellowship Training, Certifications, online clinic hours and availability, Online clinic fee, Affiliations You may harvest the information with the tooling of your choice—Python (BeautifulSoup, Scrapy, Selenium), R, or another reliable stack—so long as the final file imports seamlessly. I am flexible on the exact format (Excel, CSV, or database dump); let me know what works bes...

I have a collection of unstructured data that needs to be mined and modelled in R so I can reliably forecast future trends hidden inside it. Your task is to walk the data through the full mining pipeline—from cleaning and feature extraction to model selection, validation, and interpretation—while grounding every step in fundamental data-mining principles. The work centres on: • Ingesting and preprocessing raw, unstructured text or mixed-format inputs. • Applying appropriate R packages (tidyverse, text mining suites, caret, or any other you feel is best) to transform the data into an analysable structure. • Building and evaluating predictive models that reveal upcoming patterns or shifts I can act on. • Supplying reproducible R scripts/notebooks, c...

I need a meticulous pair of eyes—and hands—to bring together data from more than ten Excel sheets into one master workbook I will provide. Each source sheet carries a mix of plain text and live formulas, so every entry must be pasted or re-typed exactly as it appears, without disturbing any existing calculations. The template you’ll receive shows the precise column order. Simply populate it, keep all spacing, spelling, and capitalization intact, then run a full sweep for duplicates: flag them clearly, confirm counts with me, and remove any I approve for deletion. Nothing should be lost or unintentionally altered; a single stray character compromises our internal search results. When the import is complete, send me: • The updated master workbook, formulas functionin...

I need a freelancer to convert a Betfair horse racing predictions model from CSV format. The current CSV file, sourced from third-party software, contains the following columns: - Meeting and race number - Horse name and BSP - Rating prices (needs to be in descending order) The final output should have these columns properly formatted and organized. Ideal skills and experience: - Proficient in handling and manipulating CSV files - Familiarity with horse racing data - Experience with data processing from third-party software Looking for someone with attention to detail and experience in data formatting.

Build 1,000 UK driveway and patio contractor leads with owner/director mobile numbers I need a ready-to-call list of 1,000 active UK companies in the driveway, patio, paving, resin-bound and landscaping industry. This must not be a simple Google Maps scrape, recycled database or basic Apollo export. The main priority is accurate UK mobile numbers for business owners, directors or managing directors, with a high chance that the decision-maker personally answers. Each lead should include: * Company name * Website * Owner/director full name * Job title * Direct mobile number * Main business number * Town/city * Email where available * Company registration number where available Only include companies that: * Are actively trading in the UK * Clearly offer driveways, patios, paving, resi...

I need a meticulous pair of eyes—and hands—to bring together data from more than ten Excel sheets into one master workbook I will provide. Each source sheet carries a mix of plain text and live formulas, so every entry must be pasted or re-typed exactly as it appears, without disturbing any existing calculations. The template you’ll receive shows the precise column order. Simply populate it, keep all spacing, spelling, and capitalization intact, then run a full sweep for duplicates: flag them clearly, confirm counts with me, and remove any I approve for deletion. Nothing should be lost or unintentionally altered; a single stray character compromises our internal search results. When the import is complete, send me: • The updated master workbook, formulas functionin...

I need the phone number linked to a single Telegram username. My goal is purely verification, so the number must be accurate and in service. I have no fixed tools in mind and will rely on your recommendations—scripts, OSINT techniques, private databases or any other reliable method you trust are all welcome. Any approach that yields a correct result is acceptable to me. Deliverables: • The active phone number associated with the supplied username • A concise explanation of the steps, toolset or workflow you used, so I can replicate the process later if necessary Please let me know your estimated turnaround time and any information you require to get started.

Project Brief: B2B Lead Generation for Indian Flexible Packaging Sector Project Overview This project focuses on mining targeted B2B contact data within the flexible packaging manufacturing industry in India. The goal is to build a high-accuracy database of key decision-makers and technical heads to support targeted sales and marketing campaigns. Target Audience & Geography Industry: Flexible Packaging Manufacturing (e.g., multilayer films, pouches, laminates, wrappers). Geography: India (focusing on Gujarat, Tamil Nadu, Karnataka, Maharashtra, Andhrapradesh, Kerala Company Size: Small, Medium, and Large enterprise manufacturers Target Personas & Roles The data mining process must capture professionals holding the following specific titles or equivalent roles: Operations &...

Project Title Data Extraction: Format Directory Database to Filtered Excel (.xlsx) Project Budget $20 USD (Fixed Price) Project Overview I have a digital corporate directory database containing 4,100+ company profiles. The database layout is locked. I need a technical data specialist to extract this information via data-scraping scripts or OCR tools into a cleanly formatted, sortable Microsoft Excel sheet. Project Requirements & Rules No Manual Typing: You must use automated scraping scripts (Python/Selenium/BeautifulSoup) or premium OCR parsers to prevent human entry errors in phone numbers and email addresses. Zero Data Deletion: Do not delete any rows, states, or categories. Keep the entire dataset 100% intact. Delivery Timeframe: 48 hours from project award. Final Excel Grid ...

I am in need of a skilled data entry professional who can help me with a data mining task. The primary responsibilities for this project include: - Data Mining: The source data that you will be working with is in the form of Excel spreadsheets. Your task will be to search and collect specific data points as instructed. - Date Extraction: The specific data that I'm looking to extract from these Excel sheets are dates. You will need to accurately locate and transfer these date values into a separate document. Ideal candidates for this project should have: - Proven experience with data mining, particularly with Excel spreadsheets. - A keen attention to detail, as precision is crucial when it comes to extracting dates. - Strong organizational and time-management skills. Please note ...

I need a reliable professional to convert large sets of numbers from printed documents into a clean digital format. The job is purely numeric data entry: no text, images, or general transcription—just figures that must be keyed in accurately. My workflow is simple. You will: • Read the figures on the hard-copy pages I scan and send to you. • Validate any unclear or missing numbers against a publicly available online database I will link you to. • Enter the final, verified values into an Excel or Google Sheets file using the exact column structure I provide. Deliverables: 1. A fully populated spreadsheet with 100% of the numeric values from the source pages, formatted exactly as my template shows. 2. A brief log noting any entries that required verification in the pub...

I am looking for a reliable data specialist to gather 4,000 fresh, accurate, and fully verified leads of accounts receivable professionals from manufacturing companies in the USA. Each contact needs to include the individual’s full name, job title (e.g., Accounts Receivable Officer, Billing Specialist, Credit Control Officer, etc.), valid company email address (verified using email verification tools), and company name. Additionally, for every accounts receivable contact, the corresponding CEO or CFO (minimum senior-level executives) must also be included. Preferred platforms for sourcing these leads include LinkedIn, Apollo, ZoomInfo, Cognism, RocketReach, SalesIntel, Lusha, and UpLead to ensure the highest accuracy and quality for the data. Accuracy and verification of these lead...

I have a sizeable market-research dataset and I need a full classification pipeline built around it. The job starts with exploring and cleaning the raw survey responses, moves through feature engineering, and finishes with a well-tuned model that can reliably assign each record to the correct category. I would like you to: • Perform exploratory analysis to spot anomalies and guide preprocessing. • Build several candidate classifiers (e.g., logistic regression, random forest, gradient boosting, or any modern alternative you find suitable), compare them with cross-validation, and select the best. • Document the whole process in a clear, reproducible Jupyter notebook (Python, pandas, scikit-learn, or comparable libraries). • Deliver the final trained model, the not...

I have a technology-sector sales dataset that first needs to be made analysis-ready, then explored for product-performance insights. The workflow I have in mind is straightforward: Data preparation – Remove duplicates – Handle missing values – Standardise dates, currencies, and any other inconsistent formats Analysis & visuals Using Python (Pandas, NumPy, Matplotlib/Seaborn) or Excel where it makes sense, drill into product performance and surface the metrics that truly matter—sales volume, revenue, margins, and any patterns that jump out. I’m happy to connect the raw tables to a local SQL instance if SQL querying will speed things up. Dashboard Once the story is clear, translate it into an interactive Power BI report. I’d like a clean...

I'm seeking help to locate my grandfather's mining claim in Colorado from the 1930s. I have no documents, but I have a rough idea of the location based on a nearby town or city. Requirements: - Experience with historical mining claims - Knowledge of Colorado's mining history - Ability to conduct thorough research - Familiarity with relevant mapping tools Ideal Skills: - Strong research abilities - Attention to detail - Resourcefulness in locating historical information